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Aitzol Zuloaga

Bio: Aitzol Zuloaga is an academic researcher from University of the Basque Country. The author has contributed to research in topics: Field-programmable gate array & Control reconfiguration. The author has an hindex of 13, co-authored 61 publications receiving 669 citations.


Papers
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Journal ArticleDOI
TL;DR: The hardware implementation of a high complexity algorithm to estimate the optical flow from image sequences in real time is described, which has many applications in fields like object recognition, image segmentation, autonomous navigation, and security systems.

90 citations

Journal ArticleDOI
TL;DR: An algorithm is described, which computes the location of a node using noisy distance estimations, which shows that the restriction on distance exactitude can be relaxed and RF signal baseddistance estimations may be used to estimate the node location.

61 citations

Journal ArticleDOI
TL;DR: LL-MAC uses novel techniques to offer a low end-to-end data transmission latency from the furthest away nodes to the sink in a unique working cycle while offering a low duty cycle operation in a multi-hop fashion.

38 citations

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TL;DR: A high-performance PID IP core controller described in VHDL is presented and how the simulation and the PID constants tuning has been approached and the reusability of this module is demonstrated with the design of a 4 axis SoPC controller.

32 citations

Journal ArticleDOI
TL;DR: In this document, a review of power aware design for sensor nodes is presented and some resources and task management, communication, topology control and routing protocols are named.
Abstract: Distributed wireless sensor network consist on several scattered nodes in a knowledge area. Those sensors have as its only power supplies a pair of batteries that must let them live up to five years without substitution. That-s why it is necessary to develop some power aware algorithms that could save battery lifetime as much as possible. In this is document, a review of power aware design for sensor nodes is presented. As example of implementations, some resources and task management, communication, topology control and routing protocols are named.

31 citations


Cited by
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TL;DR: An automated irrigation system developed to optimize water use for agricultural crops has the potential to be useful in water limited geographically isolated areas.
Abstract: An automated irrigation system was developed to optimize water use for agricultural crops. The system has a distributed wireless network of soil-moisture and temperature sensors placed in the root zone of the plants. In addition, a gateway unit handles sensor information, triggers actuators, and transmits data to a web application. An algorithm was developed with threshold values of temperature and soil moisture that was programmed into a microcontroller-based gateway to control water quantity. The system was powered by photovoltaic panels and had a duplex communication link based on a cellular-Internet interface that allowed for data inspection and irrigation scheduling to be programmed through a web page. The automated system was tested in a sage crop field for 136 days and water savings of up to 90% compared with traditional irrigation practices of the agricultural zone were achieved. Three replicas of the automated system have been used successfully in other places for 18 months. Because of its energy autonomy and low cost, the system has the potential to be useful in water limited geographically isolated areas.

591 citations

Posted Content
TL;DR: An exhaustive review of the research conducted in neuromorphic computing since the inception of the term is provided to motivate further work by illuminating gaps in the field where new research is needed.
Abstract: Neuromorphic computing has come to refer to a variety of brain-inspired computers, devices, and models that contrast the pervasive von Neumann computer architecture This biologically inspired approach has created highly connected synthetic neurons and synapses that can be used to model neuroscience theories as well as solve challenging machine learning problems The promise of the technology is to create a brain-like ability to learn and adapt, but the technical challenges are significant, starting with an accurate neuroscience model of how the brain works, to finding materials and engineering breakthroughs to build devices to support these models, to creating a programming framework so the systems can learn, to creating applications with brain-like capabilities In this work, we provide a comprehensive survey of the research and motivations for neuromorphic computing over its history We begin with a 35-year review of the motivations and drivers of neuromorphic computing, then look at the major research areas of the field, which we define as neuro-inspired models, algorithms and learning approaches, hardware and devices, supporting systems, and finally applications We conclude with a broad discussion on the major research topics that need to be addressed in the coming years to see the promise of neuromorphic computing fulfilled The goals of this work are to provide an exhaustive review of the research conducted in neuromorphic computing since the inception of the term, and to motivate further work by illuminating gaps in the field where new research is needed

570 citations